Assignments(DL)

1 Introduction

The assignments documented here reflect a comprehensive study of the concepts and tools taught in the course Deep Learning. These include:

1.1 Overview

  1. ANN Architecture

    • Designing ANN using Python OOP concepts
    • Develop funtions to simulate ANN models with required methods for summarizing parameter details.
    • Design a user friendly framework for ANN model creation like Keras

  2. Popular Activation functions and their properties

    • Definition and mathematical properties.
    • Visualization.
    • Comparitive study in the context of Deep Learning.

  3. Multi Layer Perceptron

    • MLP for regression task.
    • MLP for classification task.

For convenience and continuity, each set of assignments is embedded for easy access:

1.2 Assignment 1

This assignment contains.